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Zhang Y, Xie J, Tang M. Attitudes, knowledge and practices concerning delirium among paediatric intensive care unit nurses: a multisite cross-sectional study in Sichuan, China. BMC Nurs 2024; 23:289. [PMID: 38684972 PMCID: PMC11057075 DOI: 10.1186/s12912-024-01956-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 04/21/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Delirium is an acute mental state associated with poor outcomes. The incidence of delirium is high, especially in the paediatric intensive care unit (PICU). It is important for staff, particularly nurses, to understand delirium and implement interventions to prevent it. We performed a survey with the aim of evaluating and analysing the factors influencing the knowledge, attitudes and behaviour of PICU nurses towards delirium. METHODS This cross-sectional descriptive study included 215 PICU nurses in 6 PICUs from five teaching hospitals in Sichuan Province, China. An online survey about the knowledge, attitudes and practices related to delirium care was conducted among PICU nurses used a self-made and validated questionnaire. The data were analysed using descriptive statistics; differences between groups were compared using t tests, ANOVA and rank-sum tests. Variables with a significance level of 0.05 in the univariate analysis were entered into the multivariable regression analysis to identify predictors. RESULTS Only 14.4% of the nurses had a good understanding of delirium, and 40.9% had received relevant training. The mean knowledge score was 9.01 ± 3.86, and the overall passing rate of knowledge was 49.8%. The mean attitude and behaviour scores were 40.95 ± 5.62 and 40.33 ± 8.01, respectively. Among the hospitals, different delirium assessments for children and specific training were performed, explaining approximately 10% of the variability in knowledge scores (F = 6.152), approximately 10% of the variability in attitude/belief scores (F = 5.908), and approximately 17% of the variability in practice scores (F = 10.767). CONCLUSIONS PICU nurses have poor knowledge of delirium, particularly regarding its clinical manifestations, influencing factors and medications used, and they have adequate attitudes and confidence and good behaviour regarding delirium in children. To better prevent delirium, we suggest that PICU departments routinely assess delirium and conduct delirium training for nurses. TRIAL REGISTRATION Not applicable.
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Affiliation(s)
- YueEr Zhang
- Department of Pain Management, West China Hospital ,Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - JingYing Xie
- West China Hospital of Stomatology,Sichuan University, Chengdu, 610041, China
| | - MengLin Tang
- Department of cardiovascular surgery,West China Hospital,Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
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den Boogaard MV, Leenders M, Pop-Purceleanu M, Tilburgs B. Performance and validation of two ICU delirium assessment and severity tools; a prospective observational study. Intensive Crit Care Nurs 2024; 83:103627. [PMID: 38301387 DOI: 10.1016/j.iccn.2024.103627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/04/2024] [Accepted: 01/08/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND The clinical statistical performance of the Confusion Assessment Method Intensive Care Unit (CAM-ICU, including CAM-ICU-7) and Intensive Care Delirium Screening Checklist (ICDSC) have rarely been studied. Additionally, delirium severity is often not measured due to a lack of validation of delirium assessment tools. OBJECTIVE The aim was to determine the statistical performance of both delirium assessment tools in daily practice, and the correlation with the gold standard Delirium Rating Scale (DRS)-R98, for delirium severity. RESEARCH METHOD CAM-ICU-7 and ICDSC, performed by nurses were compared with the DRS-R98 assessed by delirium experts, twice weekly. Within a time-window of one hour all assessments were independently performed. DESIGN A prospective observational study performed between October and December 2020. MAIN OUTCOME MEASURES Sensitivity, specificity, positive and negative predictive value of both tools was determined. The correlation between DRS-R98 and CAM-ICU-7 and ICDSC was used for validation of delirium severity. RESULTS In total, 104 CAM-ICU-7 and 105 ICDSC assessments in 86 patients were compared with the DRS-R98. For the CAM-ICU-7 and ICDSC, respectively, the sensitivity was 90% and 95%, the specificity was 92.4% and 92.3%. The positive predictive value was 0.76 and 0.80, and negative predictive value was 0.77 and 0.97. Correlation of the CAM-ICU-7 score and ICDSC score with the DRS-R98 score was 0.74 (95% CI 0.64-0.81) and 0.70 (95%CI 0.59-0.79; both p < 0.001), respectively. CONCLUSION Both CAM-ICU-7 and ICDSC demonstrated good statistical performance and correlated well with the delirium severity tool DRS-R98. IMPLICATIONS FOR CLINICAL PRACTICE Nurses can either use the CAM-ICU(-7) or the ICDSC in their practice, both are accurate in delirium diagnosis. Total CAM-ICU-7 and ICDSC score reflects delirium severity well; the higher the score, the more severe the delirium. This enables nurses to gauge the impact of their interventions and enhance the well-being of patients experiencing delirium by minimizing distressing occurrences.
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Affiliation(s)
- Mark van den Boogaard
- Radboud University Medical Center, Department Intensive Care, Nijmegen, the Netherlands.
| | - Margot Leenders
- Radboud University Medical Center, Department Intensive Care, Nijmegen, the Netherlands
| | - Monica Pop-Purceleanu
- Radboud University Medical Center, Department of Psychiatrie, Nijmegen, the Netherlands
| | - Bram Tilburgs
- Radboud University Medical Center, Department Intensive Care, Nijmegen, the Netherlands
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Wang J, Niu S, Wu Y. Effect of the clinical decision assessment system on clinical outcomes of delirium in hospitalized older adults: study protocol for a pair-matched, parallel, cluster randomized controlled superiority trial. Trials 2023; 24:581. [PMID: 37697324 PMCID: PMC10494451 DOI: 10.1186/s13063-023-07607-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/28/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Prompt recognition of delirium is the first key step in its proper management. A previous study has demonstrated that nurses' delirium screening using the usual paper version assessment tool has no effect on clinical outcomes. Clinical decision assessment systems have been demonstrated to improve patients' adherence and clinical outcomes. Therefore, We developed a clinical decision assessment system (3D-DST) based on the usual paper version (3-min diagnostic interview for CAM-defined delirium), which was developed for assessing delirium in older adults with high usability and accuracy. However, no high quality evidence exists on the effectiveness of a 3D-DST in improving outcomes of older adults compared to the usual paper version. METHODS A pair-matched, open-label, parallel, cluster randomized controlled superiority trial following the SPIRIT checklist. Older patients aged 65 years or older admitted to four medical wards of a geriatric hospital will be invited to participate in the study. Prior to the study, delirium prevention and treatment interventions will be delivered to nurses in both the intervention and control groups. The nurses in the intervention group will perform routine delirium assessments on the included older patients with 3D-DST, while the nurses in the control group will perform daily delirium assessments with the usual paper version. Enrolled patients will be assessed twice daily for delirium by a nurse researcher using 3D-DST. The primary outcome is delirium duration. The secondary outcomes are delirium severity, incidence of delirium, length of stay, in-hospital mortality, adherence to delirium assessment, prevention, and treatment of medical staff. DISCUSSION This study will incorporate the 3D-DST into clinical practice for delirium assessment. If our study will demonstrate that 3D-DST will improve adherence with delirium assessment and clinical outcomes in older patients, it will provide important evidence for the management of delirium in the future. TRIAL REGISTRATION Chinese Clinical Trial Registry, Identifier: ChiCTR1900028402. https://www.chictr.org.cn/showproj.aspx?proj=47127 . PROTOCOL VERSION 1, 29/7/22.
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Affiliation(s)
- Jiamin Wang
- School of Nursing, Beijing University of Chinese Medicine, Beijing, 102488, China
- School of Nursing, Capital Medical University, 10 You-an-Men Wai Xi-Tou-Tiao, Fengtai District, Beijing, 100069, China
| | - Sen Niu
- School of Nursing, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Ying Wu
- School of Nursing, Capital Medical University, 10 You-an-Men Wai Xi-Tou-Tiao, Fengtai District, Beijing, 100069, China.
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Dechant T, Smith L, Chavez J. Recognizing and Reducing Delirium in the Intensive Care Unit. Crit Care Nurs Q 2023; 46:277-281. [PMID: 37226919 DOI: 10.1097/cnq.0000000000000465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
This article discusses a quality improvement study conducted on intensive care unit (ICU) staff nurses that assessed their ability to utilize the CAM-ICU tool for delirium detection properly. Staff members' expertise in identifying and managing delirious patients directly correlates with reducing the long-term sequelae associated with ICU delirium. The cohort of ICU nurses participating in this research study took a questionnaire on 4 separate occasions. The survey ascertained quantitative and qualitative data, reflecting personal knowledge about the CAM-ICU tool and delirium. After each round of assessment, group and one-on-one educational sessions were provided by the researchers. The study culminated with providing each staff member a delirium reference card (badge buddy) containing relevant and easily accessible clinical information that supported the ICU staff nurses in correctly implementing the CAM-ICU tool.
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Yıldırım F, Türkleş S, Altundal Duru H. The effect of delirium information training given to intensive care nurses on patient care: quasi-experimental study. PeerJ 2022; 10:e13143. [PMID: 35419213 PMCID: PMC8997191 DOI: 10.7717/peerj.13143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 02/28/2022] [Indexed: 01/12/2023] Open
Abstract
Background Training programs aiming to improve delirium diagnosis and management skills increase nurses' care efficiency and improve patients' health outcomes. This study was conducted to examine the effect of delirium information training on patient care by intensive care nurses. Methods In the research, one group pretest-posttest quasi-experimental design was used. The study sample consisted of 30 nurses working in four intensive care units of a university hospital between November 05, 2018, and February 15, 2019. The Personal Information Form, the Checklist for the Care of the Patient in Delirium, and the Confusion Assessment Scale for the Intensive Care Unit were used to collect the data. Intensive care nurses were provided with information training supported by a training booklet in two sessions of 40 min each. Results In the study, according to the Checklist for the Care of the Patient in Delirium, while the pre-test point average of the nurses was 6.17 ± 2.29, the post-test point average had increased to 11.17 ± 1.51 (p < 0.001). After the training, it was determined that there was a significant increase in the percentage of nurses who stated that they evaluated and detected whether their patients had pain, hallucinations, and delusions (p < 0.001). As a result, it has been determined that providing delirium information training to intensive care nurses positively affects the care of patients with delirium. In addition, it has been determined that with the Confusion Assessment Scale for Intensive Care Unit, nurses can provide the care they need to patients at risk in terms of delirium by identifying delirium.
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Affiliation(s)
- Fulya Yıldırım
- Department of Pediatric Surgery Service, Mersin University Hospital, Mersin, Turkey
| | - Serpil Türkleş
- Department of Psychiatric and Mental Health Nursing, Mersin University Faculty of Nursing, Mersin, Turkey
| | - Hilal Altundal Duru
- Department of Psychiatric and Mental Health Nursing, Mersin University Faculty of Nursing, Mersin, Turkey
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Russell PSS, Mammen PM, Shankar SR, Viswanathan SA, Rebekah G, Russell S, Earnest R, Chikkala SM. Pediatric Anesthesia Emergence Delirium Scale: A diagnostic meta-analysis. World J Clin Pediatr 2022; 11:196-205. [PMID: 35433300 PMCID: PMC8985492 DOI: 10.5409/wjcp.v11.i2.196] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/27/2021] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Emergence delirium (EmD) is a troublesome motoric, emotional, and cognitive disturbance associated with morbidity. It is often misdiagnosed despite being present in a substantial proportion of children and adolescents during emergence from anesthesia.
AIM To evaluate the summary diagnostic accuracy of Pediatric Anesthesia Emergence Delirium Scale (PAEDS) for EmD among children and adolescents.
METHODS Two researchers electronically and hand searched the published literature from May 2004 to February 2021 that evaluated the diagnostic accuracy of PAEDS for EmD among children and adolescents, using appropriate terms. Two independent researchers extracted the diagnostic parameters and appraised the study quality with QUADAS-2. Overall, the diagnostic accuracy of the measures was calculated with the summary receiver operating characteristic curve (SROC), the summary sensitivity and specificity, and diagnostic odds ratio (DOR) for EmD. Various diagnostic cut-off points were evaluated for their diagnostic accuracy. Heterogeneity was analyzed by meta-regression.
RESULTS Nine diagnostic accuracy studies of EmD that conformed to our selection criteria and PRISMA guidelines were included in the final analysis. There was no publication bias. The area under the SROC was 0.97 (95% confidence interval [CI]: 95%-98%). Summary sensitivity and specificity were 0.91 (95%CI: 0.81-0.96; I2 = 92.93%) and 0.94 (95%CI: 0.89-0.97; I2 = 87.44%), respectively. The summary DOR was 148.33 (95%CI: 48.32-455.32). The effect size for the subgroup analysis of PAEDS cut-off scores of < 10, ≥ 10, and ≥ 12 was 3.73, 2.19, and 2.93, respectively; they were not statistically significantly different. The setting of the study and reference standard were statistically significantly related to the sensitivity of PAEDS but not specificity.
CONCLUSION The PAEDS is an accurate diagnostic measure for the diagnosis of EmD among children and adolescents. Further studies should document its clinical utility.
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Affiliation(s)
| | - Priya Mary Mammen
- Child and Adolescent Psychiatry Unit, Christian Medical College, Vellore 632 002, Tamil Nadu, India
| | - Satya Raj Shankar
- Child and Adolescent Psychiatry Unit, Christian Medical College, Vellore 632 002, Tamil Nadu, India
| | | | - Grace Rebekah
- Department of Biostatistics, Christian Medical College, Vellore 632 002, Tamil Nadu, India
| | - Sushila Russell
- Child and Adolescent Psychiatry Unit, Christian Medical College, Vellore 632 002, Tamil Nadu, India
| | - Richa Earnest
- Child and Adolescent Psychiatry Unit, Christian Medical College, Vellore 632 002, Tamil Nadu, India
| | - Swetha Madhuri Chikkala
- Child and Adolescent Psychiatry Unit, Christian Medical College, Vellore 632 002, Tamil Nadu, India
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Eagles D, Cheung WJ, Avlijas T, Yadav K, Ohle R, Taljaard M, Molnar F, Stiell IG. Barriers and facilitators to nursing delirium screening in older emergency patients: a qualitative study using the theoretical domains framework. Age Ageing 2022; 51:6509750. [PMID: 35061872 DOI: 10.1093/ageing/afab256] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND delirium is common in older emergency department (ED) patients, but vastly under-recognised, in part due to lack of standardised screening processes. Understanding local context and barriers to delirium screening are integral for successful implementation of a delirium screening protocol. OBJECTIVES we sought to identify barriers and facilitators to delirium screening by nurses in older ED patients. METHODS we conducted 15 semi-structured, face-to-face interviews based on the Theoretical Domains Framework with bedside nurses, nurse educators and managers at two academic EDs in 2017. Two research assistants independently coded transcripts. Relevant domains and themes were identified. RESULTS a total of 717 utterances were coded into 14 domains. Three dominant themes emerged: (i) lack of clinical prioritisation because of competing demands, lack of time and heavy workload; (ii) discordance between perceived capabilities and knowledge and (iii) hospital culture. CONCLUSION this qualitative study explored nursing barriers and facilitators to delirium screening in older ED patients. We found that delirium was recognised as an important clinical problem; however, it was not clinically prioritised; there was a false self-perception of knowledge and ability to recognise delirium and hospital culture was a strong influencer of behaviour. Successful adoption of a delirium screening protocol will only be realised if these issues are addressed.
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Affiliation(s)
- Debra Eagles
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Warren J Cheung
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Tanja Avlijas
- Department of Emergency Medicine, The Ottawa Hospital, Ottawa, ON, Canada
| | - Krishan Yadav
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Robert Ohle
- Department of Emergency Medicine, Health Science North Research Institute, Northern Ontario School of Medicine, Sudbury, ON, Canada
| | - Monica Taljaard
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Frank Molnar
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Division of Geriatric Medicine, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Bruyere Research Institute, Ottawa, ON, Canada
| | - Ian G Stiell
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
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Matsuoka A, Miike T, Miyazaki M, Goto T, Sasaki A, Yamazaki H, Komaki M, Higuchi M, Mori K, Shinada K, Nakayama K, Sakurai R, Asahi M, Futami A, Yoshitake K, Narumi S, Koba M, Koami H, Kawaguchi A, Murakawa TH, Monji A, Sakamoto Y. Development of a delirium predictive model for adult trauma patients in an emergency and critical care center: a retrospective study. Trauma Surg Acute Care Open 2021; 6:e000827. [PMID: 34901468 PMCID: PMC8634003 DOI: 10.1136/tsaco-2021-000827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/02/2021] [Indexed: 11/10/2022] Open
Abstract
Background Delirium has been shown to prolong the length of intensive care unit stay, hospitalization, and duration of ventilatory control, in addition to increasing the use of sedatives and increasing the medical costs. Although there have been a number of reports referring to risk factors for the development of delirium, no model has been developed to predict delirium in trauma patients at the time of admission. This study aimed to create a scoring system that predicts delirium in trauma patients. Methods In this single-center, retrospective, observational study, trauma patients aged 18 years and older requiring hospitalization more than 48 hours were included and divided into the development and validation cohorts. Univariate analysis was performed in the development cohort to identify factors significantly associated with prediction of delirium. The final scoring system for predicting delirium was developed using multivariate analysis and internal validation was performed. Results Of the 308 patients in the development cohort, 91 developed delirium. Clinical Frailty Score, fibrin/fibrinogen degradation products, low body mass index, lactate level, and Glasgow Coma Scale score were independently associated with the development of delirium. We developed a scoring system using these factors and calculated the delirium predictive score, which had an area under the curve of 0.85. In the validation cohort, 46 of 206 patients developed delirium. The area under the curve for the validation cohort was 0.86, and the calibration plot analysis revealed the scoring system was well calibrated in the validation cohort. Discussion This scoring system for predicting delirium in trauma patients consists of only five risk factors. Delirium prediction at the time of admission may be useful in clinical practice. Level of evidence Prognostic and epidemiological, level III.
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Affiliation(s)
- Ayaka Matsuoka
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Toru Miike
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Mariko Miyazaki
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Taku Goto
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Akira Sasaki
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Hirotaka Yamazaki
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Moe Komaki
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Masahiro Higuchi
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Kosuke Mori
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Kota Shinada
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Kento Nakayama
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Ryota Sakurai
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Miho Asahi
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Akiko Futami
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Kunimasa Yoshitake
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Shougo Narumi
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Mayuko Koba
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Hiroyuki Koami
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
| | - Atsushi Kawaguchi
- Education and Research Center for Community Medicine, Saga University, Saga, Japan
| | | | - Akira Monji
- Psychiatry, Faculty of Medicine, Saga University Hospital, Saga City, Japan
| | - Yuichirou Sakamoto
- Emergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan
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Jäckel M, Aicher N, Bemtgen X, Rilinger J, Zotzmann V, Biever PM, Supady A, Stachon P, Duerschmied D, Wengenmayer T, Bode C, Staudacher DL. Advantages of score-based delirium detection compared to a clinical delirium assessment-a retrospective, monocentric cohort study. PLoS One 2021; 16:e0259841. [PMID: 34843524 PMCID: PMC8629257 DOI: 10.1371/journal.pone.0259841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/28/2021] [Indexed: 11/19/2022] Open
Abstract
Purpose Delirium is an underdiagnosed complication on intensive care units (ICU). We hypothesized that a score-based delirium detection using the Nudesc score identifies more patients compared to a traditional diagnosis of delirium by ICU physicians. Methods In this retrospective study, all patients treated on a general medical ICU with 30 beds in a university hospital in 2019 were analyzed. Primary outcome was a documented physician diagnosis of delirium, or a delirium score ≥2 using the Nudesc. Results In 205/943 included patients (21.7%), delirium was diagnosed by ICU physicians compared to 438/943 (46.4%; ratio 2.1) by Nudesc≥2. Both assessments were independent predictors of ICU stay (p<0.01). The physician diagnosis however was no independent predictor of mortality (OR 0.98 (0.57–1.72); p = 0.989), in contrast to the score-based diagnosis (OR 2.31 (1.30–4.10); p = 0.004). Subgroup analysis showed that physicians underdiagnosed delirium in case of hypoactive delirium and delirium in patients with female gender and in patients with an age below 60 years. Conclusion Delirium in patients with hypoactive delirium, female patients and those below 60 years was underdiagnosed by physicians. The score-based delirium diagnosis detected delirium more frequently and correlated with ICU mortality and stay.
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Affiliation(s)
- Markus Jäckel
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Nico Aicher
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Xavier Bemtgen
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Jonathan Rilinger
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Viviane Zotzmann
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Paul Marc Biever
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Alexander Supady
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Peter Stachon
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Daniel Duerschmied
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Tobias Wengenmayer
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Christoph Bode
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Dawid Leander Staudacher
- Faculty of Medicine, Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, University of Freiburg, University of Freiburg, Freiburg, Germany
- * E-mail:
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10
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Abstract
BACKGROUND Detecting delirium with standardized assessment tools such as the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is important, but such detection is frequently hampered by poor documentation and inappropriate "unable to assess" responses (in noncomatose patients). OBJECTIVE To identify patient, clinical, and workplace factors that may impede or facilitate appropriate delirium assessment through use of the CAM-ICU, specifically documentation and inappropriate "unable to assess" responses. METHODS An electronic health record-based data set was used to quantify CAM-ICU documentation and inappropriate "unable to assess" responses during 24 months. Associated patient (eg, age), clinical (eg, diagnosis), and workplace (eg, geographic location within the ICU, shift) factors were evaluated with multivariable regression. RESULTS Of 28 586 CAM-ICU documentation opportunities, 66% were documented; 16% of documentations in alert or lightly sedated patients had inappropriate "unable to assess" responses. Night shift was associated with lower CAM-ICU documentation rates (P = .001), whereas physical restraints and location on side B (rather than side A) of the ICU were associated with higher documentation rates (P < .05 for both). Age older than 80 years, non-White race, intubation, and physical restraints were associated with more inappropriate "unable to assess" responses (all P < .05), as was infusion of propofol, midazolam, dexmedetomidine, or fentanyl (all P < .05). CONCLUSION Data from electronic health records can identify patient, clinical, and workplace factors associated with CAM-ICU documentation and inappropriate "unable to assess" responses, which can help target quality improvement efforts related to delirium assessment.
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Affiliation(s)
- Omar M. Awan
- Omar M. Awan is a staff physician, Pulmonary Section, Department of Medicine, Washington DC Veterans Affairs Medical Center; and an associate professor, Division of Pulmonary, Critical Care, and Sleep Medicine, The George Washington University, Washington, DC
| | - Russell G. Buhr
- Russell G. Buhr is an assistant professor, Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, and the Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development, Greater Los Angeles Veterans Affairs Healthcare System, California
| | - Biren B. Kamdar
- Biren B. Kamdar is an associate professor, Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego School of Medicine, La Jolla, California
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11
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Kooken RWJ, van den Berg M, Slooter AJC, Pop-Purceleanu M, van den Boogaard M. Factors associated with a persistent delirium in the intensive care unit: A retrospective cohort study. J Crit Care 2021; 66:132-137. [PMID: 34547553 DOI: 10.1016/j.jcrc.2021.09.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/29/2021] [Accepted: 09/03/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE To explore differences between ICU patients with persistent delirium (PD), non-persistent delirium (NPD) and no delirium (ND), and to determine factors associated with PD. MATERIALS AND METHODS Retrospective cohort study including all ICU adults admitted for ≥12 h (January 2015-February 2020), assessable for delirium and followed during their entire hospitalization. PD was defined as ≥14 days of delirium. Factors associated with PD were determined using multivariable logistic regression analysis. RESULTS Out of 10,295 patients, 3138 (30.5%) had delirium, and 284 (2.8%) had PD. As compared to NPD (n = 2854, 27.7%) and ND (n = 7157, 69.5%), PD patients were older, sicker, more physically restrained, longer comatose and mechanically ventilated, had a longer ICU and hospital stay, more ICU readmissions and a higher mortality rate. Factors associated with PD were age (adjusted odds ratio [aOR] 1.03; 95% confidence interval [CI] 1.02-1.04); emergency surgical (aOR 1.84; 95%CI 1.26-2.68) and medical (aOR 1.57; 95%CI 1.12-2.21) referral, mean Sequential Organ Failure Assessment (SOFA) score before delirium onset (aOR 1.18; 95%CI 1.13-1.24) and use of physical restraints (aOR 5.02; 95%CI 3.09-8.15). CONCLUSIONS Patients with persistent delirium differ in several characteristics and had worse short-term outcomes. Physical restraints were the most strongly associated with PD.
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Affiliation(s)
- Rens W J Kooken
- Department of Intensive Care, Radboud Institute for Health Science, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Maarten van den Berg
- Department of Intensive Care, Radboud Institute for Health Science, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Arjen J C Slooter
- Department of Intensive Care and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | - Monica Pop-Purceleanu
- Department of Psychiatry, Radboud Institute for Health Science, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care, Radboud Institute for Health Science, Radboud University Medical Center, Nijmegen, the Netherlands.
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12
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Abstract
Purpose of Review Delirium in the intensive care unit (ICU) has become increasingly acknowledged as a significant problem for critically ill patients affecting both the actual course of illness as well as outcomes. In this review, we focus on the current evidence and the gaps in knowledge. Recent Findings This review highlights several areas in which the evidence is weak and further research is needed in both pharmacological and non-pharmacological treatment. A better understanding of subtypes and their different response to therapy is needed and further studies in aetiology are warranted. Larger studies are needed to explore risk factors for developing delirium and for examining long-term consequences. Finally, a stronger focus on experienced delirium and considering the perspectives of both patients and their families is encouraged. Summary With the growing number of studies and a better framework for research leading to stronger evidence, the outcomes for patients suffering from delirium will most definitely improve in the years to come.
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13
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Di J, Wang X, Chen J. Cluster nursing can reduce postoperative delirium and improve the negative emotions and quality of life of elderly ICU patients. Am J Transl Res 2021; 13:2931-2938. [PMID: 34017458 PMCID: PMC8129372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To explore the application effect of cluster nursing in post-surgery elderly patients in intensive care units (ICU). METHODS From March 2019 to August 2020, a total of 167 elderly patients admitted to the ICU in Changzhou No. 2 People's Hospital, the Affiliated Hospital of Nanjing Medical University were recruited as the study cohort. They were divided into a test group (n=85) and a control group (n=82). The patients in the control group underwent routine nursing, and the patients in the test group underwent cluster nursing in addition to the nursing the control group underwent. The two groups' incidences of delirium, their quality of life, and their mental health were compared. RESULTS The total incidences of delirium in the test group were significantly lower than they were in the control group, and the delirium outcome rate was significantly higher than it was in the control group. A comparison of the Acute Physiology and Chronic Health Evaluation (APACHE ll) and Symptom Checklist-90 (SCL-90) scores before and after the nursing showed that the test group had notably lower scores than the control group. In addition, the nursing satisfaction rate in the test group was 88.24%, which was significantly higher than the rate in the control group (73.17%). The hospitalization expenses of the test group were lower, with a notably improved quality of life. CONCLUSION Cluster nursing can reduce the incidence of delirium and improve the quality of life and mental health of post-surgery elderly ICU patients.
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Affiliation(s)
- Jie Di
- Intensive Care Unit, Changzhou No. 2 People's Hospital, The Affiliated Hospital of Nanjing Medical University Changzhou 213000, Jiangsu Province, China
| | - Xiaofei Wang
- Intensive Care Unit, Changzhou No. 2 People's Hospital, The Affiliated Hospital of Nanjing Medical University Changzhou 213000, Jiangsu Province, China
| | - Jing Chen
- Intensive Care Unit, Changzhou No. 2 People's Hospital, The Affiliated Hospital of Nanjing Medical University Changzhou 213000, Jiangsu Province, China
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14
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Abstract
Delirium is a debilitating form of brain dysfunction frequently encountered in the intensive care unit (ICU). It is associated with increased morbidity and mortality, longer lengths of stay, higher hospital costs, and cognitive impairment that persists long after hospital discharge. Predisposing factors include smoking, hypertension, cardiac disease, sepsis, and premorbid dementia. Precipitating factors include respiratory failure and shock, metabolic disturbances, prolonged mechanical ventilation, pain, immobility, and sedatives and adverse environmental conditions impairing vision, hearing, and sleep. Historically, antipsychotic medications were the mainstay of delirium treatment in the critically ill. Based on more recent literature, the current Society of Critical Care Medicine (SCCM) guidelines suggest against routine use of antipsychotics for delirium in critically ill adults. Other pharmacologic interventions (e.g., dexmedetomidine) are under investigation and their impact is not yet clear. Nonpharmacologic interventions thus remain the cornerstone of delirium management. This approach is summarized in the ABCDEF bundle (Assess, prevent, and manage pain; Both SAT and SBT; Choice of analgesia and sedation; Delirium: assess, prevent, and manage; Early mobility and exercise; Family engagement and empowerment). The implementation of this bundle reduces the odds of developing delirium and the chances of needing mechanical ventilation, yet there are challenges to its implementation. There is an urgent need for ongoing studies to more effectively mitigate risk factors and to better understand the pathobiology underlying ICU delirium so as to identify additional potential treatments. Further refinements of therapeutic options, from drugs to rehabilitation, are current areas ripe for study to improve the short- and long-term outcomes of critically ill patients with delirium.
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Affiliation(s)
- Matthew F. Mart
- Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Nashville, Tennessee
| | - Shawniqua Williams Roberson
- Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Nashville, Tennessee
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Bioengineering, Vanderbilt University, Nashville, Tennessee
| | - Barbara Salas
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Pratik P. Pandharipande
- Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Nashville, Tennessee
- Division of Critical Care Medicine, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - E. Wesley Ely
- Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Nashville, Tennessee
- Vanderbilt Center for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee
- VA Tennessee Valley Healthcare System Geriatric Research Education and Clinical Center (GRECC), Nashville, Tennessee
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de Souza-Talarico JN, da Silva FC, de Motta Maia FO, Sichieri K, Cardoso D, Garcia P, Matos TM, Nascimento TS. Screening and detection of delirium in an adult critical care setting: a best practice implementation project. JBI Evid Implement 2021; 19:337-46. [PMID: 34810405 DOI: 10.1097/XEB.0000000000000267] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
AIM To assess compliance with evidence-based practice regarding screening and detection of delirium in adult patients at the ICU from a university hospital. METHODS The compliance rates were evaluated using the Joanna Briggs Institute Practical Application of Clinical Evidence System and Getting Research into Practice audit and feedback tool. This strategy was designed in three phases: (1) establishing a team and conducting a baseline audit based on criteria informed by the evidence; (2) reflecting on the results of the baseline audit and designing and implementing strategies to address noncompliance found in the baseline audit informed by the JBI Getting Research into Practice framework; and (3) conducting a follow-up audit to assess the outcomes of the interventions implemented to improve practice and identify future practice issues to be addressed in subsequent audits. The implementation protocol was designed based on the primary barriers and facilitators identified in the baseline audit, allied to a training program and electronic medical records changes. Nursing documentation available in medical records from patients admitted in the ICU was used to assess the baseline and follow-up audit compliance rates. RESULTS None of the medical records evaluated before the implementation protocol showed compliance with the following audit criteria: a valid and reliable instrument is accessible in the ward environment (0%), the nursing care documentation supports that the Confusion Assessment Method for the Intensive Care Unit instrument is being used (0%) and population assessed for delirium includes all adults over the age of 65, cognitive impairment, dementia, or both, current hip fracture and severe illness (0%). After the evidence-based practice implementation, the follow-up audit revealed up to 100% compliance rates with those criteria, showing that all patients under risk were screened and assessed for delirium. The only exception was the Confusion Assessment Method for the Intensive Care Unit use, whose compliance was observed in 80.95% of the medical records. CONCLUSION These findings support that baseline and follow-up audits allied to a delirium training program, and changes in the electronic nursing records increase the compliance rates related to the evidence-based practice for screening patients under risk and assessing delirium.
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16
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Luo A, Muraida S, Pinchotti D, Richardson E, Ye E, Hollingsworth B, Win A, Myers O, Langsjoen J, Valles E, Zolyomi A, Quinn DK. Bispectral Index Monitoring With Density Spectral Array for Delirium Detection. J Acad Consult Liaison Psychiatry 2020; 62:318-329. [PMID: 33223218 DOI: 10.1016/j.psym.2020.08.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/26/2020] [Accepted: 08/27/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Delirium in hospitalized patients often goes undetected. Cerebral state monitors, which measure limited-channel electroencephalography, have shown potential for improving delirium detection. OBJECTIVE The aim of this study was to compare an FDA-approved cerebral state monitor, bispectral index monitoring with density spectral array (DSA), for delirium identification with clinical screening methods. METHODS Hospitalized patients receiving psychiatric consultation were assessed for delirium using the 3-minute Diagnostic Interview for Confusion Assessment Method (3D-CAM) and underwent bispectral index monitor + DSA monitoring. Visual inspection of frequency band power of the DSA was performed by 2 trained independent raters. Average hue values were calculated for each frequency band using image analysis software as the device did not allow for extraction of raw electroencephalography data. Delirious versus nondelirious group averages, sensitivity, specificity, and area under the curve were calculated for significant DSA variables and the 3D-CAM. RESULTS In an initial cohort of 43 patients, visual ratings of the DSA were not associated with delirium (P > 0.1). In a larger cohort of 123 subjects, multiple band hue ratios were associated with delirium, although none survived correction for multiple comparisons. In a subgroup of 74 non-neurological patients, low theta/low delta ratio was significantly associated with delirium (P = 0.001) (sensitivity/specificity/area under the curve: 83%/70%/0.757; 3D-CAM: 67%/77%/0.717; paired-sample area under the curve difference: -0.040, P = 0.68). In 21 patients with dementia, low theta power demonstrated significantly greater sensitivity/specificity/area under the curve of 83%/78%/0.824, whereas 3D-CAM achieved 50%/78%/0.639 (P = 0.04). CONCLUSION Bispectral index monitor + DSA was similar to 3D-CAM for detecting delirium in hospitalized patients with and without neurological disorders, and was significantly more accurate in patients with dementia. More studies are needed to validate the use of cerebral state monitors for quantitative delirium detection.
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Affiliation(s)
- Alice Luo
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131.
| | - Susan Muraida
- Department of Family and Community Medicine, University of New Mexico, Albuquerque, NM, 87131
| | - Dana Pinchotti
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131
| | - Elizabeth Richardson
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131
| | - Enstin Ye
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131
| | | | - Alexander Win
- Department of Psychology, University of New Mexico, Albuquerque, NM, 87131
| | - Orrin Myers
- Department of Family and Community Medicine, University of New Mexico, Albuquerque, NM, 87131
| | - Jens Langsjoen
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, 87106
| | - Emiliano Valles
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131
| | - Arpad Zolyomi
- Department of Anesthesiology, University of New Mexico, Albuquerque, NM, 87106
| | - Davin K Quinn
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131
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17
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Spoon D, Rietbergen T, Huis A, Heinen M, van Dijk M, van Bodegom-Vos L, Ista E. Implementation strategies used to implement nursing guidelines in daily practice: A systematic review. Int J Nurs Stud 2020; 111:103748. [PMID: 32961463 DOI: 10.1016/j.ijnurstu.2020.103748] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 07/29/2020] [Accepted: 08/10/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVES Research specifically addressing implementation strategies regarding nursing guidelines is limited. The objective of this review was to provide an overview of strategies used to implement nursing guidelines in all nursing fields, as well as the effects of these strategies on patient-related nursing outcomes and guideline adherence. Ideally, the findings would help guideline developers, healthcare professionals and organizations to implement nursing guidelines in practice. DESIGN Systematic review. PROSPERO registration number: CRD42018104615. DATA SOURCES We searched the Embase, Medline, PsycINFO, Web of Science, Cochrane, CINAHL and Google Scholar databases until August 2019 as well as the reference lists of relevant articles. REVIEW METHODS Studies were included that described quantitative data on the effect of implementation strategies and implementation outcomes of any type of a nursing guideline in any setting. No language or date of publication restriction was used. The Cochrane Effective Practice and Organisation of Care taxonomy was used to categorize the implementation strategies. Studies were classified as effective if a significant change in either patient-related nursing outcomes or guideline adherence was described. Strength of the evidence was evaluated using the 'Cochrane risk of bias tool' for controlled studies, and the 'Newcastle-Ottawa Quality Assessment form' for cohort studies. RESULTS A total of 54 articles regarding 53 different guideline implementation studies were included. Fifteen were (cluster) Randomized Controlled Trials or controlled before-after studies and 38 studies had a before-after design. The topics of the implemented guidelines were diverse, mostly concerning skin care (n = 9) and infection prevention (n = 7). Studies were predominantly performed in hospitals (n = 34) and nursing homes (n = 11). Thirty studies showed a positive significant effect in either patient-related nursing outcomes or guideline adherence (68%, n = 36). The median number of implementation strategies used was 6 (IQR 4-8) per study. Educational strategies were used in nearly all studies (98.1%, n = 52), followed by deployment of local opinion leaders (54.7%, n = 29) and audit and feedback (41.5%, n = 22). Twenty-three (43.4%) studies performed a barrier assessment, nineteen used tailored strategies. CONCLUSIONS A wide variety of implementation strategies are used to implement nursing guidelines. Not one single strategy, or combination of strategies, can be linked directly to successful implementation of nursing guidelines. Overall, thirty-six studies (68%) reported a positive significant effect of the implementation of guidelines on patient-related nursing outcomes or guideline adherence. Future studies should use a standardized reporting checklist to ensure a detailed description of the used implementation strategies to increase reproducibility and understanding of outcomes.
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Affiliation(s)
- Denise Spoon
- Department of Internal Medicine, Section Nursing Science, Erasmus MC University Medical Centre, Room Rg-532, P.O. Box 2040, Rotterdam, CA 3000, The Netherlands.
| | - Tessa Rietbergen
- Department of Biomedical Data Sciences, section Medical Decision Making, Leiden University Medical Centre, Leiden, The Netherlands
| | - Anita Huis
- Radboud university medical centre, Radboud Institute for Health Sciences, Scientific Institute for Quality of Healthcare, Nijmegen, The Netherlands
| | - Maud Heinen
- Radboud university medical centre, Radboud Institute for Health Sciences, Scientific Institute for Quality of Healthcare, Nijmegen, The Netherlands
| | - Monique van Dijk
- Department of Internal Medicine, Section Nursing Science, Erasmus MC University Medical Centre, Room Rg-532, P.O. Box 2040, Rotterdam, CA 3000, The Netherlands; Department of Paediatric Surgery and Intensive Care, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
| | - Leti van Bodegom-Vos
- Department of Biomedical Data Sciences, section Medical Decision Making, Leiden University Medical Centre, Leiden, The Netherlands
| | - Erwin Ista
- Department of Internal Medicine, Section Nursing Science, Erasmus MC University Medical Centre, Room Rg-532, P.O. Box 2040, Rotterdam, CA 3000, The Netherlands; Department of Paediatric Surgery and Intensive Care, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
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18
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Chen J, Yu J, Zhang A. Delirium risk prediction models for intensive care unit patients: A systematic review. Intensive Crit Care Nurs 2020; 60:102880. [PMID: 32684355 DOI: 10.1016/j.iccn.2020.102880] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 04/08/2020] [Accepted: 04/18/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To systematically review the delirium risk prediction models for intensive care unit (ICU) patients. METHODS A systematic review was conducted. The Cochrane Library, PubMed, Ovid and Web of Science were searched to collect studies on delirium risk prediction models for ICU patients from database establishment to 31 March 2019. Two reviewers independently screened the literature according to the pre-determined inclusion and exclusion criteria, extracted the data and evaluated the risk of bias of the included studies using the CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies) checklist. A descriptive analysis was used to describe and summarise the data. RESULTS A total of six models were included. All studies reported the area under the receiver operating characteristic curve (AUROC) of the prediction models in the derivation and (or) validation datasets as over 0.7 (from 0.75 to 0.9). Five models reported calibration metrics. Decreased cognitive reserve and the Acute Physiology and Chronic Health Evaluation II (APACHE-II) score were the most commonly reported predisposing and precipitating factors, respectively, of ICU delirium among all models. The small sample size, lack of external validation and the absence of or unreported blinding method increased the risk of bias. CONCLUSION According to the discrimination and calibration statistics reported in the original studies, six prediction models may have moderate power in predicting ICU delirium. However, this finding should be interpreted with caution due to the risk of bias in the included studies. More clinical studies should be carried out to validate whether these tools have satisfactory predictive performance in delirium risk prediction for ICU patients.
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Affiliation(s)
- Junshan Chen
- Department of Intensive Care Unit, The Jinling Hospital Affiliated Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, PR China
| | - Jintian Yu
- Department of Intensive Care Unit, The Jinling Hospital Affiliated Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, PR China
| | - Aiqin Zhang
- Department of Professional Training of Clinical Nursing, the Jinling Hospital Affiliated Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, PR China.
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Cai S, Latour JM, Lin Y, Pan W, Zheng J, Xue Y, Gao J, Lv M, Zhang X, Luo Z, Wang C, Zhang Y. Preoperative cardiac function parameters as valuable predictors for nurses to recognise delirium after cardiac surgery: A prospective cohort study. Eur J Cardiovasc Nurs 2019; 19:310-319. [PMID: 31674797 DOI: 10.1177/1474515119886155] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Delirium is a common postoperative complication after cardiac surgery. The relationship between delirium and cardiac function has not been fully elucidated. AIMS The aim of this study was to identify the association between preoperative cardiac function and delirium among patients after cardiac surgery. METHODS We prospectively recruited 635 cardiac surgery patients with a planned cardiac intensive care unit admission. Postoperative delirium was diagnosed using the confusion assessment method for the intensive care unit. Preoperative cardiac function was assessed using N-terminal prohormone of brain natriuretic peptide (NT-proBNP), New York Heart Association functional classification and left ventricular ejection fraction. RESULTS Delirium developed in 73 patients (11.5%) during intensive care unit stay. NT-proBNP level (odds ratio (OR) 1.24, 95% confidence interval (CI) 1.01-1.52) and New York Heart Association functional classification (OR 2.34, 95% CI 1.27-4.31) were both independently associated with the occurrence of delirium after adjusting for various confounders. The OR of delirium increased with increasing NT-proBNP levels after the turning point of 7.8 (log-transformed pg/ml). The adjusted regression coefficients were 1.19 (95% CI 0.95-1.49, P=0.134) for NT-proBNP less than 7.8 (log-transformed pg/ml) and 2.78 (95% CI 1.09-7.12, P=0.033) for NT-proBNP greater than 7.8 (log-transformed pg/ml). No association was found between left ventricular ejection fraction and postoperative delirium. CONCLUSION Preoperative cardiac function parameters including NT-proBNP and New York Heart Association functional classification can predict the incidence of delirium following cardiac surgery. We suggest incorporating an early determination of preoperative cardiac function as a readily available risk assessment for delirium prior to cardiac surgery.
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Affiliation(s)
- Shining Cai
- Department of Nursing, Zhongshan Hospital, China
| | - Jos M Latour
- School of Nursing and Midwifery, University of Plymouth, UK
| | - Ying Lin
- Department of Nursing, Zhongshan Hospital, China
| | - Wenyan Pan
- Department of Nursing, Zhongshan Hospital, China
| | - Jili Zheng
- Department of Nursing, Zhongshan Hospital, China
| | - Yan Xue
- Department of Nursing, Zhongshan Hospital, China
| | - Jian Gao
- Department of Biostatistics, Zhongshan Hospital, China
| | - Minzhi Lv
- Department of Biostatistics, Zhongshan Hospital, China
| | | | - Zhe Luo
- Department of Cardiac Surgical Intensive Care Unit, Zhongshan Hospital, China
| | - Chunsheng Wang
- Department of Cardiac Surgery, Zhongshan Hospital, China
| | - Yuxia Zhang
- Department of Nursing, Zhongshan Hospital, China
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Devlin JW, Skrobik Y, Gélinas C, Needham DM, Slooter AJC, Pandharipande PP, Watson PL, Weinhouse GL, Nunnally ME, Rochwerg B, Balas MC, van den Boogaard M, Bosma KJ, Brummel NE, Chanques G, Denehy L, Drouot X, Fraser GL, Harris JE, Joffe AM, Kho ME, Kress JP, Lanphere JA, McKinley S, Neufeld KJ, Pisani MA, Payen JF, Pun BT, Puntillo KA, Riker RR, Robinson BRH, Shehabi Y, Szumita PM, Winkelman C, Centofanti JE, Price C, Nikayin S, Misak CJ, Flood PD, Kiedrowski K, Alhazzani W. Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption in Adult Patients in the ICU. Crit Care Med 2018; 46:e825-73. [PMID: 30113379 DOI: 10.1097/CCM.0000000000003299] [Citation(s) in RCA: 1704] [Impact Index Per Article: 340.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To update and expand the 2013 Clinical Practice Guidelines for the Management of Pain, Agitation, and Delirium in Adult Patients in the ICU. DESIGN Thirty-two international experts, four methodologists, and four critical illness survivors met virtually at least monthly. All section groups gathered face-to-face at annual Society of Critical Care Medicine congresses; virtual connections included those unable to attend. A formal conflict of interest policy was developed a priori and enforced throughout the process. Teleconferences and electronic discussions among subgroups and whole panel were part of the guidelines' development. A general content review was completed face-to-face by all panel members in January 2017. METHODS Content experts, methodologists, and ICU survivors were represented in each of the five sections of the guidelines: Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption). Each section created Population, Intervention, Comparison, and Outcome, and nonactionable, descriptive questions based on perceived clinical relevance. The guideline group then voted their ranking, and patients prioritized their importance. For each Population, Intervention, Comparison, and Outcome question, sections searched the best available evidence, determined its quality, and formulated recommendations as "strong," "conditional," or "good" practice statements based on Grading of Recommendations Assessment, Development and Evaluation principles. In addition, evidence gaps and clinical caveats were explicitly identified. RESULTS The Pain, Agitation/Sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) panel issued 37 recommendations (three strong and 34 conditional), two good practice statements, and 32 ungraded, nonactionable statements. Three questions from the patient-centered prioritized question list remained without recommendation. CONCLUSIONS We found substantial agreement among a large, interdisciplinary cohort of international experts regarding evidence supporting recommendations, and the remaining literature gaps in the assessment, prevention, and treatment of Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) in critically ill adults. Highlighting this evidence and the research needs will improve Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) management and provide the foundation for improved outcomes and science in this vulnerable population.
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Cai S, Lv M, Latour JM, Lin Y, Pan W, Zheng J, Cheng L, Li J, Zhang Y. Incidence and risk factors of PostopeRativE delirium in intensive care unit patients: A study protocol for the PREDICt study. J Adv Nurs 2019; 75:3068-3077. [PMID: 31197839 DOI: 10.1111/jan.14097] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 03/18/2019] [Accepted: 04/09/2019] [Indexed: 01/14/2023]
Abstract
AIM The aims of this study are: (a) to determine the incidence of postoperative delirium (POD) among surgical intensive care unit (ICU) patients in China and identify risk factors, especially, which are modifiable and have value for developing a prediction model; (b) to develop and validate a prediction model of delirium to recognize high-risk patients in surgical ICUs; (c) to investigate the short- and long-term outcomes of delirious patients and identify the predictors of patient outcomes. DESIGN A single-centre prospective cohort study. METHODS Patients will be enrolled from three surgical ICUs in a tertiary teaching hospital. Delirium assessment and perioperative data will be collected throughout the hospitalization. Delirious patients will be followed up for 2 years. The study was approved by the ethics committee in May 2018 and was funded by the clinical research grant from Zhongshan hospital, Fudan University, Shanghai. DISCUSSION Developing POD can be a burden to patients both for the short- and long-term period. Due to the lack of effective treatments for POD, prevention remains the best strategy. This study will provide an effective tool for early screening of high-risk patients of POD and provide a better understanding of the aetiology and outcome of delirium. IMPACT In clinical practice, a prediction model will offer an effective tool for ICU nurses to assess high-risk patients, which can support them to implement preventive strategies at the early stages to targeted patients. The follow-up results will help us better understand the impact of delirium on patients' long-term outcome.
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Affiliation(s)
- Shining Cai
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Minzhi Lv
- Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jos M Latour
- Faculty of Health and Human Sciences, School of Nursing and Midwifery, University of Plymouth, Plymouth, UK
| | - Ying Lin
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenyan Pan
- Department of Surgery Intensive Care Unit, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jili Zheng
- Department of Cardiac Surgery Intensive Care Unit, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lihong Cheng
- Department of Liver Surgery Intensive Care Unit, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jingjing Li
- Department of Surgery Intensive Care Unit, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuxia Zhang
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
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Rohlik GM, Fryer KR, Tripathi S, Duncan JM, Coon HL, Padhya DR, Kahoud RJ. Overcoming Barriers to Delirium Screening in the Pediatric Intensive Care Unit. Crit Care Nurse 2018; 38:57-67. [PMID: 30068721 DOI: 10.4037/ccn2018227] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Delirium is associated with poor outcomes in adults but is less extensively studied in children. OBJECTIVES To describe a quality improvement initiative to implement delirium assessment in a pediatric intensive care unit and to identify barriers to delirium screening completion. METHODS A survey identified perceived barriers to delirium assessment. Failure modes and effects analysis characterized factors likely to impede assessment. A randomized case-control study evaluated factors affecting assessment by comparing patients always assessed with patients never assessed. RESULTS Delirium assessment was completed in 57% of opportunities over 1 year, with 2% positive screen results. Education improved screening completion by 20%. Barriers to assessment identified by survey (n = 25) included remembering to complete assessments, documentation outside workflow, and "busy patient." Factors with high risk prediction numbers were lack of time and paper charting. Patients always assessed had more severe illness (median Pediatric Index of Mortality 2 score, 0.90 vs 0.36; P < .001), more developmental disabilities (moderate to severe pediatric cerebral performance category score, 54% vs 32%; P = .007), and admission during lower pediatric intensive care unit census (median [interquartile range], 10 [9-12] vs 12 [10-13]; P < .001) than did those never assessed (each group, n = 80). Patients receiving mechanical ventilation were less likely to be assessed (41.0% vs 51.2%, P < .001). CONCLUSIONS Successful implementation of pediatric delirium screening may be associated with early use of quality improvement tools to identify assessment barriers, comprehensive education, monitoring system with feedback, multidisciplinary team involvement, and incorporation into nursing workflow models.
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Affiliation(s)
- Gina M Rohlik
- Gina M. Rohlik is a certified clinical nurse specialist in the pediatric intensive care unit, Mayo Clinic Children's Center, Rochester, Minnesota, and an instructor in nursing at the Mayo Clinic School of Medicine, Rochester, Minnesota. .,Karen R. Fryer is a nurse and quality specialist in the Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, Minnesota. .,Sandeep Tripathi is an attending physician in the pediatric critical care unit at Children's Hospital of Illinois, Peoria, Illinois, and an assistant professor of pediatrics at the University of Illinois College of Medicine, Peoria, Illinois. .,Julie M. Duncan is a nurse and quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center. .,Heather L. Coon is a nurse and former quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center. .,Dipti R. Padhya is a pediatric critical care fellow in the pediatric intensive care unit, Mayo Clinic Children's Center. .,Robert J. Kahoud is a pediatric intensivist and physician scientist, Mayo Clinic Children's Center, and an assistant professor of neurology and pediatrics, Mayo Clinic School of Medicine, with special interest in acute brain dysfunction.
| | - Karen R Fryer
- Gina M. Rohlik is a certified clinical nurse specialist in the pediatric intensive care unit, Mayo Clinic Children's Center, Rochester, Minnesota, and an instructor in nursing at the Mayo Clinic School of Medicine, Rochester, Minnesota.,Karen R. Fryer is a nurse and quality specialist in the Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.,Sandeep Tripathi is an attending physician in the pediatric critical care unit at Children's Hospital of Illinois, Peoria, Illinois, and an assistant professor of pediatrics at the University of Illinois College of Medicine, Peoria, Illinois.,Julie M. Duncan is a nurse and quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Heather L. Coon is a nurse and former quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Dipti R. Padhya is a pediatric critical care fellow in the pediatric intensive care unit, Mayo Clinic Children's Center.,Robert J. Kahoud is a pediatric intensivist and physician scientist, Mayo Clinic Children's Center, and an assistant professor of neurology and pediatrics, Mayo Clinic School of Medicine, with special interest in acute brain dysfunction
| | - Sandeep Tripathi
- Gina M. Rohlik is a certified clinical nurse specialist in the pediatric intensive care unit, Mayo Clinic Children's Center, Rochester, Minnesota, and an instructor in nursing at the Mayo Clinic School of Medicine, Rochester, Minnesota.,Karen R. Fryer is a nurse and quality specialist in the Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.,Sandeep Tripathi is an attending physician in the pediatric critical care unit at Children's Hospital of Illinois, Peoria, Illinois, and an assistant professor of pediatrics at the University of Illinois College of Medicine, Peoria, Illinois.,Julie M. Duncan is a nurse and quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Heather L. Coon is a nurse and former quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Dipti R. Padhya is a pediatric critical care fellow in the pediatric intensive care unit, Mayo Clinic Children's Center.,Robert J. Kahoud is a pediatric intensivist and physician scientist, Mayo Clinic Children's Center, and an assistant professor of neurology and pediatrics, Mayo Clinic School of Medicine, with special interest in acute brain dysfunction
| | - Julie M Duncan
- Gina M. Rohlik is a certified clinical nurse specialist in the pediatric intensive care unit, Mayo Clinic Children's Center, Rochester, Minnesota, and an instructor in nursing at the Mayo Clinic School of Medicine, Rochester, Minnesota.,Karen R. Fryer is a nurse and quality specialist in the Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.,Sandeep Tripathi is an attending physician in the pediatric critical care unit at Children's Hospital of Illinois, Peoria, Illinois, and an assistant professor of pediatrics at the University of Illinois College of Medicine, Peoria, Illinois.,Julie M. Duncan is a nurse and quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Heather L. Coon is a nurse and former quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Dipti R. Padhya is a pediatric critical care fellow in the pediatric intensive care unit, Mayo Clinic Children's Center.,Robert J. Kahoud is a pediatric intensivist and physician scientist, Mayo Clinic Children's Center, and an assistant professor of neurology and pediatrics, Mayo Clinic School of Medicine, with special interest in acute brain dysfunction
| | - Heather L Coon
- Gina M. Rohlik is a certified clinical nurse specialist in the pediatric intensive care unit, Mayo Clinic Children's Center, Rochester, Minnesota, and an instructor in nursing at the Mayo Clinic School of Medicine, Rochester, Minnesota.,Karen R. Fryer is a nurse and quality specialist in the Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.,Sandeep Tripathi is an attending physician in the pediatric critical care unit at Children's Hospital of Illinois, Peoria, Illinois, and an assistant professor of pediatrics at the University of Illinois College of Medicine, Peoria, Illinois.,Julie M. Duncan is a nurse and quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Heather L. Coon is a nurse and former quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Dipti R. Padhya is a pediatric critical care fellow in the pediatric intensive care unit, Mayo Clinic Children's Center.,Robert J. Kahoud is a pediatric intensivist and physician scientist, Mayo Clinic Children's Center, and an assistant professor of neurology and pediatrics, Mayo Clinic School of Medicine, with special interest in acute brain dysfunction
| | - Dipti R Padhya
- Gina M. Rohlik is a certified clinical nurse specialist in the pediatric intensive care unit, Mayo Clinic Children's Center, Rochester, Minnesota, and an instructor in nursing at the Mayo Clinic School of Medicine, Rochester, Minnesota.,Karen R. Fryer is a nurse and quality specialist in the Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.,Sandeep Tripathi is an attending physician in the pediatric critical care unit at Children's Hospital of Illinois, Peoria, Illinois, and an assistant professor of pediatrics at the University of Illinois College of Medicine, Peoria, Illinois.,Julie M. Duncan is a nurse and quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Heather L. Coon is a nurse and former quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Dipti R. Padhya is a pediatric critical care fellow in the pediatric intensive care unit, Mayo Clinic Children's Center.,Robert J. Kahoud is a pediatric intensivist and physician scientist, Mayo Clinic Children's Center, and an assistant professor of neurology and pediatrics, Mayo Clinic School of Medicine, with special interest in acute brain dysfunction
| | - Robert J Kahoud
- Gina M. Rohlik is a certified clinical nurse specialist in the pediatric intensive care unit, Mayo Clinic Children's Center, Rochester, Minnesota, and an instructor in nursing at the Mayo Clinic School of Medicine, Rochester, Minnesota.,Karen R. Fryer is a nurse and quality specialist in the Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.,Sandeep Tripathi is an attending physician in the pediatric critical care unit at Children's Hospital of Illinois, Peoria, Illinois, and an assistant professor of pediatrics at the University of Illinois College of Medicine, Peoria, Illinois.,Julie M. Duncan is a nurse and quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Heather L. Coon is a nurse and former quality coach in the pediatric intensive care unit, Mayo Clinic Children's Center.,Dipti R. Padhya is a pediatric critical care fellow in the pediatric intensive care unit, Mayo Clinic Children's Center.,Robert J. Kahoud is a pediatric intensivist and physician scientist, Mayo Clinic Children's Center, and an assistant professor of neurology and pediatrics, Mayo Clinic School of Medicine, with special interest in acute brain dysfunction
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Linkaitė G, Riauka M, Bunevičiūtė I, Vosylius S. Evaluation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for the patients in the intensive care unit. Acta Med Litu 2018; 25:14-22. [PMID: 29928153 PMCID: PMC6008005 DOI: 10.6001/actamedica.v25i1.3699] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Introduction Delirium not only compromises patient care, but is also associated with poorer outcomes: increased duration of mechanical ventilation, higher mortality, and greater long-term cognitive dysfunction. The PRE-DELIRIC model is a tool used to calculate the risk of the development of delirium. The classification of the patients into groups by risk allows efficient initiation of preventive measures. The goal of this study was to validate the PRE-DELIRIC model using the CAM-ICU (The Confusion Assessment Method for the Intensive Care Unit) method for the diagnosis of delirium. Materials and methods Patients admitted to the University Hospital of Vilnius during February 2015 were enrolled. Every day, data were collected for APACHE-II and PRE-DELIRIC scores. Out of 167 patients, 38 (23%) were included and screened using the CAM-ICU method within 24 hours of admission to the ICU. We defined patients as having delirium when they had at least one positive CAM-ICU screening or haloperidol administration due to sedation. To validate the PRE-DELIRIC model, we calculated the area under receiver operating characteristic curve. Results The mean age of the patients was 69.2 ± 17.2 years, 19 (50%) were male, APACHE-II mean score 18.0 ± 7.4 points. Delirium was diagnosed in 22 (58%) of 38 patients. Data used for validation of the PRE-DELIRIC model resulted in an area under the curve of 0.713 (p < 0.05, 95% CI 0.539-0.887); sensitivity and specificity for the patients with 20% risk were, accordingly, 77.3% and 50%; 40% risk - 45.5% and 81.3%, 60% - 36.4%, and 87.5%. Conclusions The PRE-DELIRIC model predicted delirium in the patients within 24 hours of admission to the ICU. Preventive therapy could be efficiently targeted at high-risk patients if both of the methods are to be implemented.
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Affiliation(s)
| | - Mantas Riauka
- Faculty of Medicine, Vilnius University Vilnius, Lithuania
| | | | - Saulius Vosylius
- Clinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Centre for Anaesthesiology, Reanimatology, and Critical Care Medicine, Vilnius University Hospital Vilnius, Lithuania
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van Velthuijsen EL, Zwakhalen SMG, Warnier RMJ, Ambergen T, Mulder WJ, Verhey FRJ, Kempen GIJM. Can education improve clinical practice concerning delirium in older hospitalised patients? Results of a pre-test post-test study on an educational intervention for nursing staff. BMC Med Educ 2018; 18:59. [PMID: 29609624 PMCID: PMC5879612 DOI: 10.1186/s12909-018-1177-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 03/21/2018] [Indexed: 05/27/2023]
Abstract
BACKGROUND Delirium is a common and serious complication of hospitalisation in older adults. It can lead to prolonged hospital stay, institutionalisation, and even death. However, it often remains unrecognised or is not managed adequately. The aim of this study was to evaluate the effects of an educational intervention for nursing staff on three aspects of clinical practice concerning delirium in older hospitalised patients: the frequency and correctness of screening for delirium using the 13-item Delirium Observation Screening score (DOS), and the frequency of geriatric consultations requested for older patients. The a priori expectations were that there would be an increase in all three of these outcomes. METHODS We designed an educational intervention and implemented this on two inpatient hospital units. Before providing the educational session, the nursing staff was asked to fill out two questionnaires about delirium in older hospitalised patients. The educational session was then tailored to each unit based on the results of these questionnaires. Additionally, posters and flyers with information on the screening and management of delirium were provided and participants were shown where to find additional information. Relevant data (outcomes, demographics and background patient data) were collected retrospectively from digital medical files. Data was retrospectively collected for four different time points: three pre-test and one post-test. RESULTS There was a significant increase in frequency of delirium screening (P = 0.001), and both units showed an increase in the correctness of the screening. No significant effect of the educational intervention was found for the proportion of patients who received a geriatric consultation (P = 0.083). CONCLUSION The educational intervention was fairly successful in making positive changes in clinical practice: after the educational session an improvement in the frequency and correctness of screening for delirium was observed. A trend, though not significant, towards an increase in the proportion of geriatric consultations for older hospitalised patients was also observed.
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Affiliation(s)
- Eveline L. van Velthuijsen
- Care and Public Health Research Institute (CAPHRI) and Department of Health Services Research, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Sandra M. G. Zwakhalen
- Care and Public Health Research Institute (CAPHRI) and Department of Health Services Research, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Ron M. J. Warnier
- Care and Public Health Research Institute (CAPHRI) and Department of Health Services Research, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 HX, Maastricht, The Netherlands
| | - Ton Ambergen
- Department of Methodology and Statistics, Maastricht University, Maastricht, The Netherlands
| | - Wubbo J. Mulder
- Department of Internal Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 HX, Maastricht, The Netherlands
| | - Frans R. J. Verhey
- Alzheimer Centre Limburg, MHeNS School for Mental Health and NeuroScience and Department of Psychiatry and Neuropsychology Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Gertrudis I. J. M. Kempen
- Care and Public Health Research Institute (CAPHRI) and Department of Health Services Research, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
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Abstract
The purpose of this study is to assess the knowledge, attitudes, and managements regarding delirium of intensive care nurses and physicans, and to assess the perceived barriers related to intensive care unit (ICU) delirium monitoring in China. A descriptive survey was distributed to 1156 critical care nurses and physicians from 74 tertiary and secondary hospitals across Shandong province, China. The overall response rate was 86.18% (n = 917). The majority of respondents (88%) believed that deirium was associated with prolonged mechanical ventilation, and 79.72% thought delirium was associated with prolonged length of hospitalization. Only 14.17% of respondents believed that delirium was common in the ICU setting. Only 25.62% of the respondents reported routine screening of ICU delirium, and only 15.81% utilized Confusion Assessment Method for Intensive Care Unit screening tools. "Lack of appropriate screening tools" and "time restraints" were the most common perceived barriers. 45.4% of the participants had never received any education on ICU delirium. In conclusion, most nurses and physicians consider ICU delirium to be a serious problem, but lack knowledge on delirium and monitor this condition poorly. The survey infers a disconnection between the perceived significance and current monitoring of ICU delirium. There is a critical unmet need for in-service education on ICU delirium for physicians and nurses in China.
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Affiliation(s)
- Jinyan Xing
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University
| | - Yunbo Sun
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University
| | - Yaqi Jie
- Qingdao Development Zone No.1 Middle School
| | - Zhiyong Yuan
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University
| | - Wenjuan Liu
- School of Nursing, Qingdao University, Qingdao, China
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Costa DK, White MR, Ginier E, Manojlovich M, Govindan S, Iwashyna TJ, Sales AE. Identifying Barriers to Delivering the Awakening and Breathing Coordination, Delirium, and Early Exercise/Mobility Bundle to Minimize Adverse Outcomes for Mechanically Ventilated Patients: A Systematic Review. Chest 2017; 152:304-311. [PMID: 28438605 DOI: 10.1016/j.chest.2017.03.054] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 03/22/2017] [Accepted: 03/23/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Improved outcomes are associated with the Awakening and Breathing Coordination, Delirium, and Early exercise/mobility bundle (ABCDE); however, implementation issues are common. As yet, no study has integrated the barriers to ABCDE to provide an overview of reasons for less successful efforts. The purpose of this review was to identify and catalog the barriers to ABCDE delivery based on a widely used implementation framework, and to provide a resource to guide clinicians in overcoming barriers to implementation. METHODS We searched MEDLINE via PubMed, CINAHL, and Scopus for original research articles from January 1, 2007, to August 31, 2016, that identified barriers to ABCDE implementation for adult patients in the ICU. Two reviewers independently reviewed studies, extracted barriers, and conducted thematic content analysis of the barriers, guided by the Consolidated Framework for Implementation Research. Discrepancies were discussed, and consensus was achieved. RESULTS Our electronic search yielded 1,908 articles. After applying our inclusion/exclusion criteria, we included 49 studies. We conducted thematic content analysis of the 107 barriers and identified four classes of ABCDE barriers: (1) patient-related (ie, patient instability and safety concerns); (2) clinician-related (ie, lack of knowledge, staff safety concerns); (3) protocol-related (ie, unclear protocol criteria, cumbersome protocols to use); and, not previously identified in past reviews, (4) ICU contextual barriers (ie, interprofessional team care coordination). CONCLUSIONS We provide the first, to our knowledge, systematic differential diagnosis of barriers to ABCDE delivery, moving beyond the conventional focus on patient-level factors. Our analysis offers a differential diagnosis checklist for clinicians planning ABCDE implementation to improve patient care and outcomes.
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Affiliation(s)
| | | | - Emily Ginier
- Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI
| | | | - Sushant Govindan
- Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, MI
| | - Theodore J Iwashyna
- Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, MI; VA Center for Clinical Management Research, Ann Arbor, MI
| | - Anne E Sales
- VA Center for Clinical Management Research, Ann Arbor, MI; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI
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Souza-Dantas VC, Póvoa P, Bozza F, Soares M, Salluh J. Preventive strategies and potential therapeutic interventions for delirium in sepsis. Hosp Pract (1995) 2016; 44:190-202. [PMID: 27223862 DOI: 10.1080/21548331.2016.1192453] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 05/18/2016] [Indexed: 06/05/2023]
Abstract
Delirium is the most frequent and severe clinical presentation of brain dysfunction in critically ill septic patients with an incidence ranging from 9% to 71%. Delirium represents a significant burden for patients and relatives, as well as to the health care system, resulting in higher costs, long-term cognitive impairment and significant risk of death after 6 months. Current interventions for the prevention of delirium typically involve early recognition and amelioration of modifiable risk factors and treatment of underlying conditions that predisposes the individual to delirium. Several pharmacological interventions to prevent and treat delirium have been tested, although their effectiveness remains uncertain, especially in larger and more homogeneous subgroups of ICU patients, like in patients with sepsis. To date, there is inconsistent and conflicting data regarding the efficacy of any particular pharmacological agent, thus substantial attention has been paid to non-pharmacological interventions and preventive strategies should be applied to every patient admitted in the ICU. Future trials should be designed to evaluate the impact of these pharmacologic interventions on the prevention and treatment of delirium on clinically relevant outcomes such as length of stay, hospital mortality and long-term cognitive function. The role of specific medications like statins in delirium prevention is also yet to be evaluated.
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Affiliation(s)
| | - Pedro Póvoa
- b Polyvalent Intensive Care Unit, Hospital S. Francisco Xavier , Centro Hospitalar de Lisboa Ocidental (CHLO) , Lisbon , Portugal
- c Nova Medical School , CEDOC, New University of Lisbon , Portugal
| | - Fernando Bozza
- d Oswaldo Cruz Foundation , Rio de Janeiro , Brazil
- e D'Or Institute for Research and Education , Rio de Janeiro , Brazil
| | - Marcio Soares
- e D'Or Institute for Research and Education , Rio de Janeiro , Brazil
| | - Jorge Salluh
- e D'Or Institute for Research and Education , Rio de Janeiro , Brazil
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Karabulut N, Yaman Aktaş Y. Nursing Management of Delirium in the Postanesthesia Care Unit and Intensive Care Unit. J Perianesth Nurs 2016; 31:397-405. [DOI: 10.1016/j.jopan.2014.10.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2014] [Revised: 09/29/2014] [Accepted: 10/05/2014] [Indexed: 11/17/2022]
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Sneyers B, Henrard S, Laterre PF, Perreault MM, Beguin C, Wouters D, Speybroeck N, Spinewine A. Predictors of clinicians' underuse of daily sedation interruption and sedation scales. J Crit Care 2017; 38:182-9. [PMID: 27930995 DOI: 10.1016/j.jcrc.2016.07.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 06/29/2016] [Accepted: 07/24/2016] [Indexed: 11/24/2022]
Abstract
PURPOSE The purpose of the study is to identify predictors of underuse of sedation scales and daily sedation interruption (DSI). METHODS We surveyed all physicians and seven nurses in every Belgian intensive care unit (ICU), addressing practices and perceptions on guideline recommendations. Underuse was defined for sedation scales as use less than 3× per day and for DSI as never using it. Classification trees and logistic regressions identified predictors of underuse. RESULTS Underuse of sedation scales and DSI was found for 16.6% and 32.5% of clinicians, respectively. Strongest predictors of underuse of sedation scales were agreeing that using them daily takes much time and being a physician (rather than a nurse). Further predictors were confidence in their ability to measure sedation levels without using scales, for physicians, and nurse/ICU bed ratios less than 1.98, for nurses. The strongest predictor of underuse of DSI among physicians was the perception that DSI impairs patients' comfort. Among nurses, lack of familiarity with DSI, region, and agreeing DSI should only be performed upon medical orders best predicted underuse. CONCLUSIONS Workload considerations hamper utilization of sedation scales. Poor familiarity, for nurses, and negative perception of impact on patients' comfort, for physicians, both reduce DSI utilization. Targeting these obstacles is essential while designing quality improvement strategies to minimize sedative use.
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Trogrlić Z, Ista E, Ponssen HH, Schoonderbeek JF, Schreiner F, Verbrugge SJ, Dijkstra A, Bakker J, van der Jagt M. Attitudes, knowledge and practices concerning delirium: a survey among intensive care unit professionals. Nurs Crit Care 2016; 22:133-140. [PMID: 26996876 DOI: 10.1111/nicc.12239] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Revised: 02/16/2016] [Accepted: 02/17/2016] [Indexed: 12/23/2022]
Abstract
BACKGROUND Delirium is a common form of vital organ dysfunction in intensive care unit (ICU) patients and is associated with poor outcomes. Adherence to guideline recommendations pertaining to delirium is still suboptimal. AIMS We performed a survey aimed at identifying barriers for implementation that should be addressed in a tailored implementation intervention targeted at improved ICU delirium guideline adherence. DESIGN The survey was conducted among ICU professionals. METHODS An online survey was conducted among 360 ICU health care professionals (nurses, physicians and delirium consultants) from six ICUs in the southwest of the Netherlands as part of a multicentre prospective implementation project [response rate: 64% of 565 invited; 283 (79%) were nurses]. RESULTS Although the majority (83%) of respondents considered delirium a common and major problem in the ICU, we identified several barriers for implementation of a delirium guideline. The most important barriers were knowledge deficit, low delirium screening rate, lack of trust in the reliability of delirium screening tools, belief that delirium is not preventable, low familiarity with delirium guidelines, low satisfaction with physician-described delirium management, poor collaboration between nurses and physicians, reluctance to change delirium care practices, lack of time, disbelief that patients would receive optimal care when adhering to the guideline and the perception that the delirium guideline is cumbersome or inconvenient in daily practice. CONCLUSION Although ICU professionals consider delirium a serious problem, several important barriers to adhere to guidelines on delirium management are still present today. RELEVANCE TO CLINICAL PRACTICE Identification of implementation barriers for adherence to guidelines pertaining to delirium is feasible with a survey. Results of this study may help to design-targeted implementation strategies for ICU delirium management.
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Affiliation(s)
- Zoran Trogrlić
- Department of Intensive Care, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Erwin Ista
- Department of Pediatric Surgery, Intensive Care Unit, Erasmus MC-Sophia Children's Hospital, University Medical Center, Rotterdam, the Netherlands
| | - Huibert H Ponssen
- Department of Intensive Care, Albert Schweitzer Hospital, Dordrecht, the Netherlands
| | | | - Frodo Schreiner
- Department of Intensive Care, IJsselland Hospital, Rotterdam, the Netherlands
| | - Serge J Verbrugge
- Department of Intensive Care, Sint Franciscus Gasthuis, Rotterdam, the Netherlands
| | - Annemieke Dijkstra
- Department of Intensive Care, Maasstad Ziekenhuis, Rotterdam, the Netherlands
| | - Jan Bakker
- Department of Intensive Care, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
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Trogrlić Z, van der Jagt M, Bakker J, Balas MC, Ely EW, van der Voort PHJ, Ista E. A systematic review of implementation strategies for assessment, prevention, and management of ICU delirium and their effect on clinical outcomes. Crit Care 2015; 19:157. [PMID: 25888230 PMCID: PMC4428250 DOI: 10.1186/s13054-015-0886-9] [Citation(s) in RCA: 170] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 03/16/2015] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Despite recommendations from professional societies and patient safety organizations, the majority of ICU patients worldwide are not routinely monitored for delirium, thus preventing timely prevention and management. The purpose of this systematic review is to summarize what types of implementation strategies have been tested to improve ICU clinicians' ability to effectively assess, prevent and treat delirium and to evaluate the effect of these strategies on clinical outcomes. METHOD We searched PubMed, Embase, PsychINFO, Cochrane and CINAHL (January 2000 and April 2014) for studies on implementation strategies that included delirium-oriented interventions in adult ICU patients. Studies were suitable for inclusion if implementation strategies' efficacy, in terms of a clinical outcome, or process outcome was described. RESULTS We included 21 studies, all including process measures, while 9 reported both process measures and clinical outcomes. Some individual strategies such as "audit and feedback" and "tailored interventions" may be important to establish clinical outcome improvements, but otherwise robust data on effectiveness of specific implementation strategies were scarce. Successful implementation interventions were frequently reported to change process measures, such as improvements in adherence to delirium screening with up to 92%, but relating process measures to outcome changes was generally not possible. In meta-analyses, reduced mortality and ICU length of stay reduction were statistically more likely with implementation programs that employed more (six or more) rather than less implementation strategies and when a framework was used that either integrated current evidence on pain, agitation and delirium management (PAD) or when a strategy of early awakening, breathing, delirium screening and early exercise (ABCDE bundle) was employed. Using implementation strategies aimed at organizational change, next to behavioral change, was also associated with reduced mortality. CONCLUSION Our findings may indicate that multi-component implementation programs with a higher number of strategies targeting ICU delirium assessment, prevention and treatment and integrated within PAD or ABCDE bundle have the potential to improve clinical outcomes. However, prospective confirmation of these findings is needed to inform the most effective implementation practice with regard to integrated delirium management and such research should clearly delineate effective practice change from improvements in clinical outcomes.
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Affiliation(s)
- Zoran Trogrlić
- Department of Intensive Care, Erasmus MC, University Medical Center, P.O. Box 2040, Rotterdam, CA, 3000, the Netherlands.
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus MC, University Medical Center, P.O. Box 2040, Rotterdam, CA, 3000, the Netherlands.
| | - Jan Bakker
- Department of Intensive Care, Erasmus MC, University Medical Center, P.O. Box 2040, Rotterdam, CA, 3000, the Netherlands.
| | - Michele C Balas
- College of Nursing, Center of Excellence in Critical and Complex Care, The Ohio State University, Ballantrae Place Dublin Ohio 43016, Columbus, Ohio, 6756, USA.
| | - E Wesley Ely
- Department of Medicine, Division of Pulmonary and Critical Care, Health Services Research Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA. .,Veteran's Affairs Tennessee Valley Geriatric Research Education Clinical Center (GRECC), 1215 21st Avenue South MCE Suite 6100, Nashville, TN, 37232, USA.
| | - Peter H J van der Voort
- Department of Intensive Care, Onze Lieve Vrouwe Gasthuis, P.O. Box 95500, Amsterdam, 1090 HM, The Netherlands.
| | - Erwin Ista
- Department of Pediatric Surgery, Intensive Care Unit, Erasmus MC-Sophia Children's Hospital, University Medical Center, P.O. Box 2060, Rotterdam, 3000 CB, The Netherlands.
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Elliott SR. ICU delirium: A survey into nursing and medical staff knowledge of current practices and perceived barriers towards ICU delirium in the intensive care unit. Intensive Crit Care Nurs 2014; 30:333-8. [DOI: 10.1016/j.iccn.2014.06.004] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Revised: 05/15/2014] [Accepted: 06/16/2014] [Indexed: 10/24/2022]
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Meagher D, Cullen W. Early Intervention for Delirium. In: Byrne P, Rosen A, editors. Early Intervention in Psychiatry. Chichester: John Wiley & Sons, Ltd; 2014. pp. 234-54. [DOI: 10.1002/9781118557174.ch19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Ista E, Trogrlic Z, Bakker J, Osse RJ, van Achterberg T, van der Jagt M. Improvement of care for ICU patients with delirium by early screening and treatment: study protocol of iDECePTIvE study. Implement Sci 2014; 9:143. [PMID: 25273854 PMCID: PMC4192432 DOI: 10.1186/s13012-014-0143-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 09/19/2014] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Delirium in critically ill patients has a strong adverse impact on prognosis. In spite of its recognized importance, however, delirium screening and treatment procedures are often not in accordance with current guidelines. This implementation study is designed to assess barriers and facilitators for guideline adherence and next to develop a multifaceted tailored implementation strategy. Effects of this strategy on guideline adherence as well as important clinical outcomes will be described. METHODS Current practices and guideline deviations will be assessed in a prospective baseline measurement. Barriers and facilitators will be identified from a survey among intensive care health care professionals (intensivists and nurses) and focus group interviews with selected health care professionals (n=60). Findings will serve as a foundation for a tailored guideline implementation strategy. Adherence to the guideline and effects of the implementation strategies on relevant clinical outcomes will be piloted in a before-after study in six intensive care units (ICUs) in the southwest Netherlands. The primary outcomes are adherence to screening and treatment in line with the Dutch ICU delirium guideline. Secondary outcomes are process measures (e.g. attendance to training and knowledge) and clinical outcomes (e.g. incidence of delirium, hospital-mortality changes, and length of stay). Primary and secondary outcome data will be collected at four time points including at least 924 patients. Furthermore, a process evaluation will be done, including an economical evaluation. DISCUSSION Little is known on effective implementation of delirium management in the critically ill. The proposed multifaceted implementation strategy is expected to improve process measures such as screening adherence in line with the guideline and may improve clinical outcomes, such as mortality and length of stay. This ICU Delirium in Clinical Practice Implementation Evaluation study (iDECePTIvE-study) will generate important knowledge for ICU health care providers on how to improve their clinical practice to establish optimum care for delirious patients. TRIALS REGISTRATION Clinical Trials NCT01952899.
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Affiliation(s)
- Erwin Ista
- />Department of Pediatric Surgery, Intensive Care Unit, Erasmus MC—Sophia Children's Hospital: University Medical Center Rotterdam, Rotterdam, 3000 CB The Netherlands
| | - Zoran Trogrlic
- />Department of Intensive Care Unit, Erasmus MC: University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jan Bakker
- />Department of Intensive Care Unit, Erasmus MC: University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Robert Jan Osse
- />Department of Psychiatry, Erasmus MC: University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Theo van Achterberg
- />Radboud University Medical Center, Scientific Institute for Quality of Healthcare, Nijmegen, The Netherlands
- />Center for Health Services and Nursing Research, KU Leuven, Leuven Belgium
| | - Mathieu van der Jagt
- />Department of Intensive Care Unit, Erasmus MC: University Medical Center Rotterdam, Rotterdam, The Netherlands
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Pipanmekaporn T, Wongpakaran N, Mueankwan S, Dendumrongkul P, Chittawatanarat K, Khongpheng N, Duangsoy N. Validity and reliability of the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Clin Interv Aging 2014; 9:879-85. [PMID: 24904208 PMCID: PMC4043427 DOI: 10.2147/cia.s62660] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose The purpose of this study was to determine the validity and reliability of the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), when compared to the diagnoses made by delirium experts. Patients and methods This was a cross-sectional study conducted in both surgical intensive care and subintensive care units in Thailand between February–June 2011. Seventy patients aged 60 years or older who had been admitted to the units were enrolled into the study within the first 48 hours of admission. Each patient was randomly assessed as to whether they had delirium by a nurse using the Thai version of the CAM-ICU algorithm (Thai CAM-ICU) or by a delirium expert using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. Results The prevalence of delirium was found to be 18.6% (n=13) by the delirium experts. The sensitivity of the Thai CAM-ICU’s algorithms was found to be 92.3% (95% confidence interval [CI] =64.0%−99.8%), while the specificity was 94.7% (95% CI =85.4%−98.9%). The instrument displayed good interrater reliability (Cohen’s κ =0.81; 95% CI =0.64−0.99). The time taken to complete the Thai CAM-ICU was 1 minute (interquatile range, 1−2 minutes). Conclusion The Thai CAM-ICU demonstrated good validity, reliability, and ease of use when diagnosing delirium in a surgical intensive care unit setting. The use of this diagnostic tool should be encouraged for daily, routine use, so as to promote the early detection of delirium and its rapid treatment.
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Affiliation(s)
- Tanyong Pipanmekaporn
- Department of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nahathai Wongpakaran
- Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Sirirat Mueankwan
- Division of Surgical Critical Care and Trauma, Department of Surgery, Chiang Mai University Hospital, Chiang Mai, Thailand
| | - Piyawat Dendumrongkul
- Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Kaweesak Chittawatanarat
- Division of Surgical Critical Care and Trauma, Department of Surgery, Chiang Mai University Hospital, Chiang Mai, Thailand
| | - Nantiya Khongpheng
- Division of Surgical Critical Care and Trauma, Department of Surgery, Chiang Mai University Hospital, Chiang Mai, Thailand
| | - Nongnut Duangsoy
- Division of Surgical Critical Care and Trauma, Department of Surgery, Chiang Mai University Hospital, Chiang Mai, Thailand
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Weis J, Zoffmann V, Egerod I. Improved nurse-parent communication in neonatal intensive care unit: evaluation and adjustment of an implementation strategy. J Clin Nurs 2014; 23:3478-89. [PMID: 24698260 DOI: 10.1111/jocn.12599] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2014] [Indexed: 11/27/2022]
Abstract
AIMS AND OBJECTIVES To evaluate and adjust systematic implementation of guided family-centred care in a neonatal intensive care unit. BACKGROUND Family-centred care is valued in neonatal intensive care units internationally, but innovative strategies are needed to realise the principles. Guided family-centred care was developed to facilitate person-centred communication by bridging the gap between theory and practice in family-centred care. Main mechanisms of guided family-centred care are structured dialogue, reflection and person-centred communication. DESIGN Qualitative and quantitative data were used to monitor participatory implementation of a systematic approach to training and certification of nurses delivering guided family-centred care. METHODS Systematic implementation of guided family-centred care included workshops, supervised delivery and certification. Evaluation and adjustment of nurse adherence to guided family-centred care was conducted by monitoring (1) knowledge, (2) delivery, (3) practice uptake and (4) certification. RESULTS Implementation was improved by the development of a strategic framework and by adjusting the framework according to the real-life context of a busy neonatal care unit. Promoting practice uptake was initially underestimated, but nurse guided family-centred care training was improved by increasing the visibility of the study in the unit, demonstrating intervention progress to the nurses and assuring a sense of ownership among nurse leaders and nonguided-family-centred-care-trained nurses. CONCLUSIONS An adjusted framework for guided family-centred care implementation was successful in overcoming barriers and promoting facilitators. RELEVANCE TO CLINICAL PRACTICE Insights gained from our pioneering work might help nurses in a similar context to reach their goals of improving family-centred care.
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Affiliation(s)
- Janne Weis
- Department of Neonatology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
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Theuerkauf N, Guenther U. Delir auf der Intensivstation. Med Klin Intensivmed Notfmed 2014; 109:129-36. [DOI: 10.1007/s00063-014-0354-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Revised: 02/10/2014] [Accepted: 02/10/2014] [Indexed: 11/24/2022]
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van den Boogaard M, Schoonhoven L, Maseda E, Plowright C, Jones C, Luetz A, Sackey PV, Jorens PG, Aitken LM, van Haren FMP, Donders R, van der Hoeven JG, Pickkers P. Recalibration of the delirium prediction model for ICU patients (PRE-DELIRIC): a multinational observational study. Intensive Care Med 2014; 40:361-9. [DOI: 10.1007/s00134-013-3202-7] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Accepted: 12/18/2013] [Indexed: 01/11/2023]
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Meagher DJ, McLoughlin L, Leonard M, Hannon N, Dunne C, O'Regan N. What do we really know about the treatment of delirium with antipsychotics? Ten key issues for delirium pharmacotherapy. Am J Geriatr Psychiatry 2013; 21:1223-38. [PMID: 23567421 DOI: 10.1016/j.jagp.2012.09.008] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2012] [Revised: 09/06/2012] [Accepted: 09/26/2012] [Indexed: 12/31/2022]
Abstract
Despite the significant burden of delirium among hospitalized adults, no pharmacologic intervention is approved for delirium treatment. Antipsychotic agents are the best studied but there are uncertainties as to how these agents can be optimally applied in everyday practice. We searched Medline and PubMed databases for publications from 1980 to April 2012 to identify studies of delirium treatment with antipsychotic agents. Studies of primary prevention using pharmacotherapy were not included. We identified 28 prospective studies that met our inclusion criteria, of which 15 were comparison studies (11 randomized), 2 of which were placebo-controlled. The quality of comparison studies was assessed using the Jadad scale. The DRS (N = 12) and DRS-R98 (N = 9) were the most commonly used instruments for measuring responsiveness. These studies suggest that around 75% of delirious patients who receive short-term treatment with low-dose antipsychotics experience clinical response. Response rates appear quite consistent across different patient groups and treatment settings. Studies do not suggest significant differences in efficacy for haloperidol versus atypical agents, but report higher rates of extrapyramidal side effects with haloperidol. Comorbid dementia may be associated with reduced response rates but this requires further study. The available evidence does not indicate major differences in response rates between clinical subtypes of delirium. The extent to which therapeutic effects can be explained by alleviation of specific symptoms (e.g. sleep or behavioral disturbances) versus a syndromal effect that encompasses both cognitive and noncognitive symptoms of delirium is not known. Future research needs to explore the relationship between therapeutic effects and changes in pathophysiological markers of delirium. Less than half of reports were rated as reasonable quality evidence on the Jadad scale, highlighting the need for future studies of better quality design, and in particular incorporating placebo-controlled work.
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Affiliation(s)
- David J Meagher
- Department of Adult Psychiatry, University Hospital Limerick, Ireland; University of Limerick Medical School, Limerick, Ireland; Centre for Interventions in Infection, Inflammation & Immunity (4i), Graduate Entry Medical School, University of Limerick, Ireland.
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Abstract
The management of pain, agitation, and delirium in critically ill patients can be complicated by multiple factors. Decisions to administer opioids, sedatives, and antipsychotic medications are frequently driven by a desire to facilitate patients' comfort and their tolerance of invasive procedures or other interventions within the ICU. Despite accumulating evidence supporting new strategies to optimize pain, sedation, and delirium practices in the ICU, many critical care practitioners continue to embrace false perceptions regarding appropriate management in these critically ill patients. This article explores these perceptions in more detail and offers new evidence-based strategies to help critical care practitioners better manage sedation and delirium, particularly in ICU patients.
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Abstract
OBJECTIVE To review delirium screening tools available for use in the adult ICU and PICU, to review evidence-based delirium screening implementation, and to discuss common pitfalls encountered during delirium screening in the ICU. DATA SOURCES Review of delirium screening literature and expert opinion. RESULTS Over the past decade, tools specifically designed for use in critically ill adults and children have been developed and validated. Delirium screening has been effectively implemented across many ICU settings. Keys to effective implementation include addressing barriers to routine screening, multifaceted training such as lectures, case-based scenarios, one-on-one teaching, and real-time feedback of delirium screening, and interdisciplinary communication through discussion of a patient's delirium status during bedside rounds and through documentation systems. If delirium is present, clinicians should search for reversible or treatable causes because it is often multifactorial. CONCLUSION Implementation of effective delirium screening is feasible but requires attention to implementation methods, including a change in the current ICU culture that believes delirium is inevitable or a normal part of a critical illness, to a future culture that views delirium as a dangerous syndrome which portends poor clinical outcomes and which is potentially modifiable depending on the individual patients circumstances.
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Abstract
Delirium is a common and serious condition that is underrecognized in older adults in a variety of healthcare settings. It is poorly recognized because of deficiencies in provider knowledge and its atypical presentation. Early recognition of delirium is warranted to better manage the disease and prevent the adverse outcomes associated with it. The purpose of this article is to review the literature concerning educational interventions focusing on recognition of delirium. The Medline and Cumulative Index to Nursing and Allied Health Literature (CINHAL) databases were searched for studies with specific educational focus in the recognition of delirium, and 26 studies with various designs were identified. The types of interventions used were classified according to the Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) model, and outcomes were sorted according to Kirkpatrick's hierarchy. Educational strategies combining predisposing, enabling, and reinforcing factors achieved better results than strategies that included one or two of these components. Studies using predisposing, enabling, and reinforcing strategies together were more often effective in producing changes in staff behavior and participant outcomes. Based on this review, improvements in knowledge and skill alone seem insufficient to favorably influence recognition of delirium. Educational interventions to recognize delirium are most effective when formal teaching is interactive and is combined with strategies including engaging leadership and using clinical pathways and assessment tools. The goal of the current study was to systematically review the published literature to determine the effect of educational interventions on recognition of delirium.
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van den Boogaard M, Schoonhoven L, van Achterberg T, van der Hoeven JG, Pickkers P. Haloperidol prophylaxis in critically ill patients with a high risk for delirium. Crit Care 2013; 17:R9. [PMID: 23327295 PMCID: PMC4056261 DOI: 10.1186/cc11933] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2012] [Accepted: 01/09/2013] [Indexed: 01/08/2023]
Abstract
Introduction Delirium is associated with increased morbidity and mortality. We implemented a delirium prevention policy in intensive care unit (ICU) patients with a high risk of developing delirium, and evaluated if our policy resulted in quality improvement of relevant delirium outcome measures. Methods This study was a before/after evaluation of a delirium prevention project using prophylactic treatment with haloperidol. Patients with a predicted risk for delirium of ≥ 50%, or with a history of alcohol abuse or dementia, were identified. According to the prevention protocol these patients received haloperidol 1 mg/8 h. Evaluation was primarily focused on delirium incidence, delirium free days without coma and 28-day mortality. Results of prophylactic treatment were compared with a historical control group and a contemporary group that did not receive haloperidol prophylaxis mainly due to non-compliance to the protocol mostly during the implementation phase. Results In 12 months, 177 patients received haloperidol prophylaxis. Except for sepsis, patient characteristics were comparable between the prevention and the historical (n = 299) groups. Predicted chance to develop delirium was 75 ± 19% and 73 ± 22%, respectively. Haloperidol prophylaxis resulted in a lower delirium incidence (65% vs. 75%, P = 0.01), and more delirium-free-days (median 20 days (IQR 8 to 27) vs. median 13 days (3 to 27), P = 0.003) in the intervention group compared to the control group. Cox-regression analysis adjusted for sepsis showed a hazard rate of 0.80 (95% confidence interval 0.66 to 0.98) for 28-day mortality. Beneficial effects of haloperidol appeared most pronounced in the patients with the highest risk for delirium. Furthermore, haloperidol prophylaxis resulted in less ICU re-admissions (11% vs. 18%, P = 0.03) and unplanned removal of tubes/lines (12% vs. 19%, P = 0.02). Haloperidol was stopped in 12 patients because of QTc-time prolongation (n = 9), renal failure (n = 1) or suspected neurological side-effects (n = 2). No other side-effects were reported. Patients who were not treated during the intervention period (n = 59) showed similar results compared to the untreated historical control group. Conclusions Our evaluation study suggests that prophylactic treatment with low dose haloperidol in critically ill patients with a high risk for delirium probably has beneficial effects. These results warrant confirmation in a randomized controlled trial. Trial registration clinicaltrial.gov Identifier: NCT01187667.
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Abstract
Delirium is commonly observed in critically ill patients and is associated with negative outcomes. The pathophysiology of delirium is not completely understood. However, alterations to neurotransmitters, especially acetylcholine and dopamine, inflammatory pathways and an aberrant stress response are proposed mechanisms leading to intensive care unit (ICU) delirium. Detection of delirium using a validated delirium assessment tool makes early treatment possible, which may improve prognosis. Patients at high risk of delirium, especially those with cognitive decline and advanced age, should be identified in the first 24 hours of admission to the ICU. Whether these high-risk patients benefit from haloperidol prophylaxis deserves further study. The effectiveness of a multicomponent, non-pharmacological approach is shown in non-ICU patients, which provides proof of concept for use in the ICU. The few studies on this approach in ICU patients suggest that the burden of ICU delirium may be reduced by early mobility, increased daylight exposure and the use of earplugs. In addition, the combined use of sedation, ventilation, delirium and physical therapy protocols can reduce the frequency and severity of adverse outcomes and should become part of routine practice in the ICU, as should avoidance of deliriogenic medication such as anticholinergic drugs and benzodiazepines. Once delirium develops, symptomatic treatment with antipsychotics is recommended, with haloperidol being the drug of first choice. However, there is limited evidence on the safety and effectiveness of antipsychotics in ICU delirium.
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Affiliation(s)
- Irene J Zaal
- Department of Intensive Care Medicine, University Medical Centre Utrecht, Utrecht, the Netherlands.
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Mistraletti G, Pelosi P, Mantovani ES, Berardino M, Gregoretti C. Delirium: Clinical approach and prevention. Best Pract Res Clin Anaesthesiol 2012; 26:311-26. [DOI: 10.1016/j.bpa.2012.07.001] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Accepted: 07/02/2012] [Indexed: 12/24/2022]
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Theuerkauf N, Guenther U, Putensen C. Postoperative delirium in the PACU and intensive care unit. Trends in Anaesthesia and Critical Care 2012; 2:148-55. [DOI: 10.1016/j.tacc.2012.03.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Eastwood GM, Peck L, Bellomo R, Baldwin I, Reade MC. A questionnaire survey of critical care nurses' attitudes to delirium assessment before and after introduction of the CAM-ICU. Aust Crit Care 2012; 25:162-9. [PMID: 22370551 DOI: 10.1016/j.aucc.2012.01.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2011] [Revised: 10/08/2011] [Accepted: 01/31/2012] [Indexed: 10/28/2022] Open
Abstract
BACKGROUND Nurses are usually the first to identify delirium in ICU patients. We aimed to assess the attitudes of Australian critical care nurses when we introduced the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). METHODS We surveyed all 174 nurses in our ICU using two questionnaires: first after a one-month period of mandated but unstructured delirium assessments, and then following one month of CAM-ICU assessments. We also quantified antipsychotic medication usage by inspecting pharmacy records. FINDINGS The first survey response rate was 65/174 (37%). Most nurses (73%) thought active delirium assessment was important, and 93% thought their assessments were worth the time required. These assessments were largely unstructured, as only 20% knew a formal delirium test, and only 7% sometimes used one. The second survey response rate was 45/174 (26%). Most (89%) still thought delirium assessment was important, but only 75% thought the CAM-ICU worth the time required (p=0.01 compared to unstructured assessments). Similar proportions (75% and 73%) were confident in the accuracy of their assessments. Many (33%) found the CAM-ICU 'quite' or 'very' hard to perform, but despite this, 82% wanted to continue to use it. Free-text answers suggested this was because medical staff paid more attention to the CAM-ICU. Supporting this, prescriptions of antipsychotic medications increased significantly in the CAM-ICU period. CONCLUSION Critical care nurses in our Australian ICU who responded to our survey think delirium assessment is important. Although they find unstructured assessments easier to perform, they wanted to persist with the CAM-ICU, in part because it facilitated more appropriate pharmacological treatment of delirium for their patients. We recommend the CAM-ICU as a tool to improve communication between nurses and physicians in the management of delirium.
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Affiliation(s)
- Glenn M Eastwood
- Department of Intensive Care Medicine, The Austin Hospital, 145 Studley Road, Heidelberg, Victoria 3084, Australia
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van den Boogaard M, Pickkers P, Slooter AJC, Kuiper MA, Spronk PE, van der Voort PHJ, van der Hoeven JG, Donders R, van Achterberg T, Schoonhoven L. Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study. BMJ 2012; 344:e420. [PMID: 22323509 PMCID: PMC3276486 DOI: 10.1136/bmj.e420] [Citation(s) in RCA: 241] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVES To develop and validate a delirium prediction model for adult intensive care patients and determine its additional value compared with prediction by caregivers. DESIGN Observational multicentre study. SETTING Five intensive care units in the Netherlands (two university hospitals and three university affiliated teaching hospitals). PARTICIPANTS 3056 intensive care patients aged 18 years or over. MAIN OUTCOME MEASURE Development of delirium (defined as at least one positive delirium screening) during patients' stay in intensive care. RESULTS The model was developed using 1613 consecutive intensive care patients in one hospital and temporally validated using 549 patients from the same hospital. For external validation, data were collected from 894 patients in four other hospitals. The prediction (PRE-DELIRIC) model contains 10 risk factors-age, APACHE-II score, admission group, coma, infection, metabolic acidosis, use of sedatives and morphine, urea concentration, and urgent admission. The model had an area under the receiver operating characteristics curve of 0.87 (95% confidence interval 0.85 to 0.89) and 0.86 after bootstrapping. Temporal validation and external validation resulted in areas under the curve of 0.89 (0.86 to 0.92) and 0.84 (0.82 to 0.87). The pooled area under the receiver operating characteristics curve (n=3056) was 0.85 (0.84 to 0.87). The area under the curve for nurses' and physicians' predictions (n=124) was significantly lower at 0.59 (0.49 to 0.70) for both. CONCLUSION The PRE-DELIRIC model for intensive care patients consists of 10 risk factors that are readily available within 24 hours after intensive care admission and has a high predictive value. Clinical prediction by nurses and physicians performed significantly worse. The model allows for early prediction of delirium and initiation of preventive measures. Trial registration Clinical trials NCT00604773 (development study) and NCT00961389 (validation study).
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Affiliation(s)
- M van den Boogaard
- Department of Intensive Care Medicine, Radboud University Nijmegen Medical Centre, 6500HB Nijmegen, Netherlands
| | - P Pickkers
- Department of Intensive Care Medicine, Radboud University Nijmegen Medical Centre, 6500HB Nijmegen, Netherlands
| | - A J C Slooter
- Department of Intensive Care, University Medical Centre Utrecht, Utrecht, Netherlands
| | - M A Kuiper
- Department of Intensive Care, Medical Centre Leeuwarden, Leeuwarden, Netherlands
| | - P E Spronk
- Department of Intensive Care Medicine, Gelre Hospitals, Location Lukas, Apeldoorn, Netherlands
| | - P H J van der Voort
- Department of Intensive Care, Onze Lieve Vrouwe Gasthuis, Amsterdam, Netherlands
| | - J G van der Hoeven
- Department of Intensive Care Medicine, Radboud University Nijmegen Medical Centre, 6500HB Nijmegen, Netherlands
| | - R Donders
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre
| | - T van Achterberg
- Scientific Institute for Quality of Healthcare, Radboud University Nijmegen Medical Centre
| | - L Schoonhoven
- Scientific Institute for Quality of Healthcare, Radboud University Nijmegen Medical Centre
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Boot R. Delirium: a review of the nurses role in the intensive care unit. Intensive Crit Care Nurs 2012; 28:185-9. [PMID: 22245104 DOI: 10.1016/j.iccn.2011.11.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2011] [Revised: 11/06/2011] [Accepted: 11/15/2011] [Indexed: 11/20/2022]
Abstract
AIM This article aims to review current literature into the use of assessment tools for the diagnosis of delirium and the implications of care for the patient with delirium. BACKGROUND Delirium is a common often misdiagnosed, unrecognised and misunderstood condition in the critical care setting that has been associated with increased mortality and cognitive dysfunction. RELEVANCE TO CLINICAL PRACTICE Delirium has implications for increasing cost to the National Health Service as it is linked to prolonged ventilation and the associated risks and increased hospital stay. CONCLUSION Nurses play a key role in identification of delirium using CAM-ICU, a valid and reliable tool and identifying modifiable risks to improve the delirious ICU patient's outcome.
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